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What are the best practices for setting up UTM tracking templates in Buffer to measure social traffic accurately in Google Analytics 4?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the best practices for setting up UTM tracking templates in Buffer to measure social traffic accurately in Google Analytics 4?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 1 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Buffer UTM tracking campaign templates Google Analytics 4 documentation Google ↗
Google Analytics 4 manual campaign parameters utm_source utm_medium utm_campaign official documentation Google ↗
- URL builders: Collect campaign data with custom URLs · support.google.com
- Traffic-source dimensions, manual tagging, and auto-tagging · support.google.com
- Help Center - Understanding UTM parameters and Google Analytics · support.buffer.com
- https\://example.com/product · example.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Buffer UTM tracking campaign templates Google Analytics 4 documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
Google Analytics 4 manual campaign parameters utm_source utm_medium utm_campaign official documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |